Triple

T5646108
Position Surface form Disambiguated ID Type / Status
Subject Olympus Range E124387 entity
Predicate hasPeak P8205 FINISHED
Object Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
E537427 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mount Loke | Statement: [Olympus Range, hasPeak, Mount Loke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Loke
Context triple: [Olympus Range, hasPeak, Mount Loke]
  • A. Mount Lokon
    Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
  • B. Mount Welirang
    Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
  • C. Mount Loilaeng
    Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
  • D. Mount Soputan
    Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
  • E. Mount Talang
    Mount Talang is an active stratovolcano in Indonesia known for its frequent eruptions and location near the city of Padang in West Sumatra.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mount Loke
Triple: [Olympus Range, hasPeak, Mount Loke]
Generated description
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mount Loke
Target entity description: Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
  • A. Mount Lokon
    Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
  • B. Mount Welirang
    Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
  • C. Mount Loilaeng
    Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
  • D. Mount Soputan
    Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
  • E. Mount Talang
    Mount Talang is an active stratovolcano in Indonesia known for its frequent eruptions and location near the city of Padang in West Sumatra.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022aa650c819088d9046b82fab631 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d84e14c8190b913486cb516eee1 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04edbf1f081908d74d0ac29601a35 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7e64c88190bbced2f2460c1913 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:41 p.m.